Containment Control of Multiagent Systems Subject to Denial of Service Attacks

Abstract

This article proposes a secure containment control of multi-agent systems under cyber attacks. Multiple Unmanned Aerial Vehicle Systems (UAVs) are considered in this article. The suggested approach considers denial of service (DoS) attacks, containment control of multiple UAVs, and designs a strong steering approach as well as a secure middleware for data sharing and exchange. A combination of graph theory and L1 adaptive control is utilized to ensure efficient steering and cooperation. The data distribution services (DDS) middleware handles data transfer among all the UAVs, which solves the interoperability challenge when interacting with several UAVs from various platforms and can be regarded as an enhanced security strategy depending on its quality of service (QoS). The L1 controller is used to stabilize the dynamic model of each UAV, while the graph method is used for the containment of multi UAVs. The linear matrix inequalities (LMIs) control is designed as a robust level of security to handle the influence of the DoS attack. Simulation results are utilized to validate and demonstrate the suggested technique's performance under the criteria mentioned before.